creator-content-performance-review

creator-content-performance-review is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 66 tokens per session (373 once invoked), scanned A, original, MIT.

A framework for reviewing how creator content performs using supplied analytics, such as views, watch time, audience retention, and responses.

In plain words
What is it for?
It helps compare posts, videos, newsletters, podcasts, and short-form content, then suggest tests, follow-up checks, and opportunities to reuse strong material.
Why use it?
It separates measured results from guesses, making it easier to understand which content works and why the data may be limited.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It helps compare posts, videos, newsletters, podcasts, and short-form content, then suggest tests, follow-up checks, and opportunities to reuse strong material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/creator-content-performance-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jeremylongworth-source/AgentSkills --skill creator-content-performance-review
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for creator-content-performance-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/creator-content-performance-review/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/creator-content-performance-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for creator-content-performance-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/creator-content-performance-review"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/creator-content-performance-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00373
Opus 5 $0.00033 $0.00187
Sonnet 5 $0.00013 $0.00075
Haiku 4.5 $0.00007 $0.00037

Measured 7d ago against content hash 48135abb2282, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

creator-content-performance-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/creator-content-performance-review/SKILL.md · 48 lines

What it actually says

Creator Content Performance Review

Core Workflow

  1. Identify content set, platform, date range, source exports, business question, comparison baseline, and available metrics.
  2. Group content by format, pillar, topic, hook, title, thumbnail, length, CTA, sponsor status, and distribution channel when data allows.
  3. Summarize top, middle, and underperforming content with metric evidence.
  4. Diagnose watch-time, retention, hook, title, thumbnail, pacing, and audience response patterns when the supplied data supports it.
  5. Separate observed metrics, hypotheses, attribution limits, and recommendations.
  6. Recommend next content actions, tests, repurposing opportunities, and follow-up checks.

Safety Rules

  • Do not invent platform analytics, screenshots, comments, watch-time curves, saves, shares, clicks, conversions, revenue, or demographics.
  • Do not promise future performance from past content.
  • Do not claim algorithmic or causal explanations without evidence.
  • Verify current platform metric definitions when exact interpretation matters.

Deliverable Shape

For creator performance reviews, provide:

  • Scope and source data
  • Metric summary
  • Top and weak performers
  • Retention or hook findings
  • Audience response themes
  • Caveats and confidence
  • Next content actions
  • Tests to run

References

  • Read references/creator-content-performance-review-checklist.md when reviewing creator content performance.
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 48 lines · 66 tokens per session scan A 48135abb2282

Subscribe to this mod's changes

creator-content-performance-review is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 66 tokens to every session and 373 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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